Abstract The wind power industry has experienced rapid growth over the past few decades, but the operation and maintenance costs have become huge challenges to achieve better economic returns and enhance the market competitiveness. In this paper, an opportunistic maintenance strategy for wind turbines considering stochastic weather conditions and spare parts management is proposed. The Markov chain model is adopted to generate wind speed time series and obtain the maintenance wait time owing to weather restrictions. The opportunistic maintenance threshold is a dynamic value related to the wind speed to reduce power generation losses. Moreover, the ( s , S ) inventory policy, with the reorder stock level s and maximum stock level S , is employed. Numerical examples are used to illustrate the economic advantages of the proposed strategy. Compared with a static opportunistic maintenance strategy and a strategy not considering opportunistic maintenance, the life cycle operation and maintenance cost for the proposed dynamic opportunistic maintenance strategy shows a decline of 10.927% and 18.304%, respectively. The optimal maintenance and inventory strategy is obtained with the decision variables of opportunistic maintenance reliability threshold and reorder stock level, and the effects of various applied parameters are described.

中文翻译：

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考虑天气条件和备件库存管理的风力涡轮机机会维护策略

摘要 风电行业在过去几十年中经历了快速增长，但运行维护成本成为实现更好经济效益和提升市场竞争力的巨大挑战。在本文中，提出了一种考虑随机天气条件和备件管理的风力涡轮机机会维护策略。采用马尔可夫链模型生成风速时间序列，获取受天气限制的维修等待时间。机会维护阈值是与风速相关的动态值，以减少发电损失。此外，采用 (s , S ) 库存策略，具有再订购库存水平 s 和最大库存水平 S。数值例子被用来说明所提出的策略的经济优势。与静态机会维护策略和不考虑机会维护的策略相比，所提出的动态机会维护策略的生命周期运维成本分别下降了10.927%和18.304%。以机会维修可靠性阈值和再订货库存水平为决策变量，得到最优维修和库存策略，并描述了各种应用参数的影响。